Senior Backend Engineer - Distributed AI Data (Remote)

BairesDev; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Competitive USD pay

Hardware provided

Flexible hours

Paid leave & holidays

Global collaboration

Job summary

Join BairesDev, a global tech leader delivering cutting-edge solutions to Google and top startups. This 100% remote role focuses on building distributed TypeScript backends that handle data at scale, integrate RAG pipelines, and connect with LLM APIs.

You will design PostgreSQL with vector search, work with Apache Spark for large-scale processing, and implement event-driven workflows in a globally distributed team. Excellent USD compensation and flexible schedule offered.

Qualifications

• 5+ years of software engineering experience.
• Strong proficiency in TypeScript.
• Experience with distributed systems.
• Hands-on experience with large-scale data processing using Apache Spark.
• Strong PostgreSQL skills.
• Experience with vector databases such as pgvector or Qdrant.
• Background building RAG pipelines.
• Experience with chunking and embeddings.
• Experience with LLM APIs such as Anthropic, OpenAI, or Bedrock.
• Experience with event-driven messaging using AWS SQS, RabbitMQ, or BullMQ.
• Advanced proficiency in English.

Responsibilities

• Build distributed systems handling large-scale data processing.
• Design and maintain PostgreSQL databases with vector search capabilities.
• Build RAG pipelines, including chunking and embedding strategies.
• Integrate with LLM APIs to power AI-driven functionality.
• Implement event-driven messaging to coordinate distributed workflows.

Skills

TypeScript

Distributed systems

Data processing

PostgreSQL

Vector databases

LLM APIs

Messaging systems

English proficiency

Big data

Tools

Apache Spark

pgvector

Qdrant

Redis

Langfuse

LangSmith

Job description

Join BairesDev, a global tech leader delivering cutting-edge solutions to Google and top startups. This 100% remote role focuses on building distributed TypeScript backends that handle data at scale, integrate RAG pipelines, and connect with LLM APIs.

You will design PostgreSQL with vector search, work with Apache Spark for large-scale processing, and implement event-driven workflows in a globally distributed team. Excellent USD compensation and flexible schedule offered.